Rejoindre Se connecter

Daniel Tangi

Date d'abonnement : 2022

Ligue d'Argent

4800 points
Create ML Models with BigQuery ML Earned juin 1, 2023 EDT
DEPRECATED Build and Deploy Machine Learning Solutions on Vertex AI Earned mai 31, 2023 EDT
Prepare Data for ML APIs on Google Cloud Earned mai 17, 2023 EDT
Build a Secure Google Cloud Network Earned déc. 15, 2022 EST
Set Up an App Dev Environment on Google Cloud Earned déc. 13, 2022 EST
Implementing Cloud Load Balancing for Compute Engine Earned déc. 9, 2022 EST

Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions on Vertex AI skill badge course, where you learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.

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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.

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Earn a skill badge by completing the Build a Secure Google Cloud Network skill badge course, where you will learn about multiple networking-related resources to build, scale, and secure your applications on Google Cloud.

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Earn a skill badge by completing the Set Up an App Dev Environment on Google Cloud skill badge course, where you learn how to build and connect storage-centric cloud infrastructure using the basic capabilities of the following technologies: Cloud Storage, Identity and Access Management, Cloud Functions, and Pub/Sub.

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Complete the introductory Implementing Cloud Load Balancing for Compute Engine skill badge to demonstrate skills in the following: creating and deploying virtual machines in Compute Engine and configuring network and application load balancers.

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